A Viscoelastic Model for the Long‐Term Deflection of Segmental Prestressed Box Girders

Beltempo, Angela; Bursi, Oreste S.; Cappello, Carlo; Zonta, Daniele; Zingales, Massimiliano

doi:10.1111/mice.12311

Cited by 15 publications

(11 citation statements)

References 27 publications

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“…This solution time may appear significant for a structure relatively simple. Nonetheless, as underlined in Reference , solvers of creep problems for standard FE software may entail significant errors if complex load histories are not properly superposed. Conversely, the formulation proposed in Section 3 properly takes into account the combination of multiple load histories.…”

Section: Representative Numerical Examplesmentioning

confidence: 99%

“…Nonetheless, in some cases, such as for structures highly sensitive to creep, more refined procedures are required. 20 For instance, the use of a variational formulation conceived for viscoelastic problems may bring more accurate solutions and can allow for the choice of a proper viscous kernel. The idea of using viscoelastic variational formulation for structural analyses is certainly not new.…”

Section: Background and Motivationmentioning

confidence: 99%

“…More precisely, L defines the extended stiffness matrix and g is the extended vector of the equivalent nodal forces. As a result, the unknown displacement field can be derived using Equations (18) and (20).…”

Section: The Fe Formulationmentioning

confidence: 99%

“…The simplest way to analyze the viscoelastic behavior of real structures is given by their modeling in commercial software and, then, by means of the relevant creep analysis. Nonetheless, in some cases, such as for structures highly sensitive to creep, more refined procedures are required . For instance, the use of a variational formulation conceived for viscoelastic problems may bring more accurate solutions and can allow for the choice of a proper viscous kernel.…”

Section: Introductionmentioning

confidence: 99%

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A numerical integration approach for fractional‐order viscoelastic analysis of hereditary‐aging structures

Beltempo

Bonelli

Bursi

et al. 2019

Numerical Meth Engineering

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Summary In this paper, a novel numerical integration scheme is proposed for fractional‐order viscoelastic analysis of hereditary‐aging structures. More precisely, the idea of aging is first introduced through a new phenomenological viscoelastic model characterized by variable‐order fractional operators. Then, the presented fractional‐order viscoelastic model is included in a variational formulation, conceived for any viscous kernel and discretized in time by employing a discontinuous Galerkin method. The accuracy of the resulting finite element (FE) scheme is analyzed through a model problem, whose exact solution is known; and the most significant variables affecting the solution quality, such as the number of Gaussian quadrature points and time subintervals, are then investigated in terms of error and computational cost. Moreover, the proposed FE integration scheme is applied to study the short‐ and long‐term behavior of concrete structures, which, due to the severe aging exhibited during their service life, represents one of the most challenging time‐dependent behavior to be investigated. Eventually, also the Euler implicit method, commonly used in commercial software, is compared.

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Section: Representative Numerical Examplesmentioning

confidence: 99%

Section: Background and Motivationmentioning

confidence: 99%

Section: The Fe Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A numerical integration approach for fractional‐order viscoelastic analysis of hereditary‐aging structures

Beltempo

Bonelli

Bursi

et al. 2019

Numerical Meth Engineering

Self Cite

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“…Although the prediction on the vertical deflection in these studies showed decent agreement with the actual measurement data, the physics-based models need to be sophisticated when factors which were not considered in the models need to be addressed [ 22 ]. In addition, most of the previous studies did not take into account the uncertainty factors associated with railway bridges and could not give a probabilistic prediction on their vertical deflection [ 23 ].…”

Section: Introductionmentioning

confidence: 99%

Long-Term Deflection Prediction from Computer Vision-Measured Data History for High-Speed Railway Bridges

Lee

2018

Sensors

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Management of the vertical long-term deflection of a high-speed railway bridge is a crucial factor to guarantee traffic safety and passenger comfort. Therefore, there have been efforts to predict the vertical deflection of a railway bridge based on physics-based models representing various influential factors to vertical deflection such as concrete creep and shrinkage. However, it is not an easy task because the vertical deflection of a railway bridge generally involves several sources of uncertainty. This paper proposes a probabilistic method that employs a Gaussian process to construct a model to predict the vertical deflection of a railway bridge based on actual vision-based measurement and temperature. To deal with the sources of uncertainty which may cause prediction errors, a Gaussian process is modeled with multiple kernels and hyperparameters. Once the hyperparameters are identified through the Gaussian process regression using training data, the proposed method provides a 95% prediction interval as well as a predictive mean about the vertical deflection of the bridge. The proposed method is applied to an arch bridge under operation for high-speed trains in South Korea. The analysis results obtained from the proposed method show good agreement with the actual measurement data on the vertical deflection of the example bridge, and the prediction results can be utilized for decision-making on railway bridge maintenance.

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Effective behavior of long and short fiber-reinforced viscoelastic composites

Cruz-González

Ramírez-Torres

Rodrı́guez-Ramos

et al. 2021

Applications in Engineering Science

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A Viscoelastic Model for the Long‐Term Deflection of Segmental Prestressed Box Girders

Cited by 15 publications

References 27 publications

A numerical integration approach for fractional‐order viscoelastic analysis of hereditary‐aging structures

A numerical integration approach for fractional‐order viscoelastic analysis of hereditary‐aging structures

Long-Term Deflection Prediction from Computer Vision-Measured Data History for High-Speed Railway Bridges

Effective behavior of long and short fiber-reinforced viscoelastic composites

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